mlsanityData to 7 Oct 2026

Towards String-to-Tree Neural Machine Translation

arXiv 1704.04743 ↗First posted 16 Apr 2017cs.CLcited by 19

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Abstract (arXiv)

We present a simple method to incorporate syntactic information about the target language in a neural machine translation system by translating into linearized, lexicalized constituency trees. An experiment on the WMT16 German-English news translation task resulted in an improved BLEU score when compared to a syntax-agnostic NMT baseline trained on the same dataset. An analysis of the translations from the syntax-aware system shows that it performs more reordering during translation in comparison to the baseline. A small-scale human evaluation also showed an advantage to the syntax-aware system.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2017.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 6; 2024: 0; 2025: 0; 2026: 1.

19 papers.

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  1. 2021Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Surveycited by 46
  2. 2022Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scalecited by 40
  3. 2022SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parsercited by 32
  4. 2021Sequence-to-Sequence Learning with Latent Neural Grammarscited by 30
  5. 2021Structural Information Preserving for Graph-to-Text Generationcited by 24
  6. 2022On the Domain Adaptation and Generalization of Pretrained Language Models: A Surveycited by 22
  7. 2021Investigating Failures of Automatic Translation in the Case of Unambiguous Gendercited by 20
  8. 2021Discovering Non-monotonic Autoregressive Orderings with Variational Inferencecited by 15
  9. 2023Explicit Syntactic Guidance for Neural Text Generationcited by 8
  10. 2023Non-autoregressive Machine Translation with Probabilistic Context-free Grammarcited by 4
  11. 2023Neural Machine Translation for Code Generationcited by 3
  12. 2023Weakly Supervised Reasoning by Neuro-Symbolic Approachescited by 3
7 more
  1. 2023Neural Machine Translation with Dynamic Graph Convolutional Decodercited by 2
  2. 2021Disambiguating Symbolic Expressions in Informal Documentscited by 1
  3. 2021Enhancing the Transformer Decoder with Transition-based Syntaxcited by 1
  4. 2022Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategiescited by 1
  5. 2023AMR Parsing with Causal Hierarchical Attention and Pointerscited by 1
  6. 2021To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graphcited by 0
  7. 2026Top-down string-to-dependency Neural Machine Translationcited by 0